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Healthcare Fax OCR Automation

How Quantal AI transformed manual healthcare fax processing into an automated, API-driven document extraction workflow.

Healthcare Fax OCR Automation

Our Client

How Quantal AI transformed manual healthcare fax processing into an automated, API-driven document extraction workflow.

Quantal AI worked with a healthcare operations client to build a deployment-ready OCR API that automatically processes incoming healthcare fax PDFs and extracts the required identifiers.

Quantal AI proposed building a focused, API-driven OCR solution that could process incoming PDF fax documents, extract Agency IDs and Order IDs and return structured JSON to the client's existing workflow.

The objective was to automate a repetitive manual step in the document intake process without introducing a large, complex platform, creating a reliable and extensible foundation for future automation. 

Industry
Healthcare
Services Provided
OCR Automation, Document Processing, AI Engineering
Tech Stack
FastAPI, Python 3.12, Adobe PDF Services, PyMuPDF, Docker, AWS CodeBuild, Amazon ECR, Gunicorn, Uvicorn
Outcome
Automated extraction of Agency IDs and Order IDs from healthcare fax PDFs into structured JSON responses
System Design

The workflow

The API accepts a single PDF, processes image-based or non-searchable content using Adobe PDF Services OCR, extracts the Agency ID and Order ID, and returns structured JSON to the client's workflow. The service also handles missing fields, invalid files, oversized uploads, unreadable PDFs, and OCR errors through defined responses. 

1

PDF Upload

2

OCR

3

Text Extraction
4

ID Extraction

5

JSON Response

The Challenge

The Challenge

Healthcare fax workflows often involve extracting critical information from incoming PDF documents.  

For this client, Agency IDs and Order IDs had to be manually located and transferred from faxed forms into downstream workflows. This created repetitive work and slowed document intake.

The client needed a focused solution that could automate this step without introducing a large, complex platform. 

The Solution

The Solution

Quantal AI built a deployment-ready OCR API that automatically processes incoming healthcare fax PDFs and extracts the required identifiers. 

Proven Outcome

Results and Impact

The solution helps the client: 

01

Reduce Manual Work

Automated repetitive searching for Agency and Order IDs.

02

Speed Up Document Processing

Move faster from incoming fax to structured workflow data.

03

Standardize Downstream Data

Provide extracted identifiers through a consistent API response.

04

Create a Foundation for Future Automation

The focused architecture can be extended as document and workflow requirements evolve.

Deliverables

Built for Production

Rather than stopping at a working prototype, Quantal AI designed the service for deployment and operational reliability. 

Key engineering considerations included: 

PDF validation and file-size limits

Temporary-file cleanup

Responsive request handling

Defined error responses

UUID-based request tracing

Docker-based deployment

AWS CodeBuild and Amazon ECR integration

Under the Hood

Our Technology Stack

FastAPI Python 3.12 Adobe PDF Services PyMuPDF Docker AWS CodeBuild Amazon ECR Gunicorn Uvicorn
Why Quantal AI

Why Businesses Choose Quantal AI for OCR and Document Processing

01

Proven experience building deployment-ready OCR and document automation solutions for healthcare operations workflows.

02

Deep expertise in API development, PDF processing and structured data extraction for production environments.

03

Focused architecture designed to automate specific workflow steps without introducing large, complex platforms.

04

Production-grade engineering with PDF validation, error handling, UUID-based request tracing and Docker-based deployment built in from day one.

The Expert Behind This Project

Meet the Expert

Meet Nagadia

Senior AI Engineer/Developer

4+ years of experience across Artificial Intelligence, Machine Learning, NLP, LLMs, RAG, Data Science, and AI-powered application development.
NLP Machine Learning Artificial Intelligence Data Analysis Data Science Back-end Developers Neural Network Data Visualization LLM OpenAI RAG Prompt Engineering Python SQL Analytics Development
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